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curiositech/windags-skills

Describe patterns that may indicate bad-faith or manipulative communication including gish gallop, whataboutism, tone policing, motte-and-bailey, sealioning, lying by omission, deflection, and strategic evasion. Use when the user suspects manipulation, notices repeated non-engagement, wants to analyze debate tactics, or mentions 'bad faith', 'deflection', 'manipulation', 'dodging the question', 'avoiding the issue', 'gaslighting', 'moving goalposts'. Describes behavioral patterns without making psychological diagnoses.

O que é windags-skills?

windags-skills is a Claude Code agent skill that describe patterns that may indicate bad-faith or manipulative communication including gish gallop, whataboutism, tone policing, motte-and-bailey, sealioning, lying by omission, deflection, and strategic evasion. Use when the user suspects manipulation, notices repeated non-engagement, wants to analyze debate tactics, or mentions 'bad faith', 'deflection', 'manipulation', 'dodging the question', 'avoiding the issue', 'gaslighting', 'moving goalposts'. Describes behavioral patterns without making psychological diagnoses.

Funciona com~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/curiositech/windags-skills/tree/HEAD/skills/bad-faith-rhetoric-detector

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Documentação

Bad-Faith Rhetoric Detector

When to Use This Skill

Load this skill when the user suspects manipulation, asks about "bad faith" responses, wants to analyze debate tactics, or uses phrases like "dodging the question," "moving goalposts," or "gaslighting."

DECISION POINTS

Primary Tactic Identification (when multiple patterns co-occur)

1. WHAT was the original question/claim?
   ↓
2. HOW did the response handle it?
   ├─ Completely ignored → Stonewalling or Deflection
   ├─ Replaced with different topic → Whataboutism or Gish Gallop
   ├─ Attacked the asking style → Tone Policing
   ├─ Retreated to safer claim → Motte-and-Bailey
   └─ Demanded excessive proof → Sealioning or Burden-Shifting
   ↓
3. WHAT was the emotional effect?
   ├─ Exhaustion from volume → Gish Gallop (primary)
   ├─ Self-doubt about reasonableness → DARVO or Gaslighting
   ├─ Confusion about what was agreed → Moving Goalposts
   └─ Frustration at non-engagement → Stonewalling (primary)

Confidence Assessment Tree

High Confidence (>80%):
├─ Pattern appears 3+ times in exchange
├─ Clear quotes demonstrate the behavior
└─ Effect on conversation is obvious

Medium Confidence (50-80%):
├─ Pattern appears 1-2 times
├─ Some ambiguity in interpretation
└─ Could be defensive behavior instead

Low Confidence (<50%):
├─ Single instance only
├─ Multiple reasonable interpretations
└─ Context suggests good faith possible

Response Strategy Selection

IF relationship is unsafe OR pattern is clearly intentional
   → Name + Exit (use boundary scripts)

ELSE IF pattern seems defensive/overwhelmed
   → Name + Pause ("Let's take a step back...")

ELSE IF user needs ongoing relationship
   → Name + Limit ("I'll engage with X, but not Y")

ELSE IF one-off interaction
   → Exit without explanation

FAILURE MODES

Anti-Pattern: "Pattern Confirmation Bias"

Symptom: Finding bad faith everywhere, even in ambiguous exchanges Detection Rule: If >70% of analyzed exchanges show "bad faith," you're overcalling Fix: Force charitable interpretation first, then pattern match second

Anti-Pattern: "Therapeutic Overreach"

Symptom: Diagnosing psychological conditions from rhetoric patterns Detection Rule: Using words like "narcissist," "sociopath," or "personality disorder" Fix: Stick to behavioral descriptions only: "This response pattern avoids..."

Anti-Pattern: "False Equivalence Detection"

Symptom: Labeling legitimate disagreement as "bad faith" Detection Rule: No actual question dodging, just unwelcome answer Fix: Distinguish between "didn't answer how I wanted" vs "didn't answer at all"

Anti-Pattern: "Weaponized Analysis"

Symptom: User wants help deploying these tactics themselves Detection Rule: Questions focus on "how to" rather than "is this happening" Fix: Decline to assist with tactical deployment; redirect to productive discourse

Anti-Pattern: "Analysis Paralysis Loop"

Symptom: Endless cataloging without decision or action Detection Rule: 3+ rounds of pattern identification with no boundary setting Fix: "What do you want to do with this information?" Force decision point

WORKED EXAMPLES

Example 1: Workplace Motte-and-Bailey

User: "My boss said in the meeting that our department 'needs major restructuring and some people aren't pulling their weight.' When I asked privately who specifically and what changes, he said 'I'm just saying we all need to step up our game.' Is this bad faith?"

Analysis Process:

  1. Original claim: Department needs major restructuring + some people underperforming
  2. Response to clarification request: Vague "we all need to step up"
  3. Pattern match: Motte-and-Bailey (retreat from specific threat to generic encouragement)
  4. Confidence: High (clear retreat pattern)
  5. Alternative explanation: Boss may lack specific plan, using vague language to avoid premature commitments

Output: "This follows a motte-and-bailey pattern - making a specific concerning claim (major restructuring, people not pulling weight) then retreating to an uncontroversial position (everyone should work hard) when pressed for details. This could indicate he's testing reactions before committing to specifics, or he may lack a concrete plan but wants to create urgency."

Example 2: Relationship DARVO

User: "I told my partner I felt hurt when they canceled our plans last minute again. They said 'I can't believe you're attacking me when I'm dealing with work stress. You never support me when I'm struggling.' Did I do something wrong?"

Analysis Process:

  1. Original concern: Pattern of last-minute plan cancellation causing hurt
  2. Response pattern: Deny wrongdoing, attack user for raising it, position self as victim
  3. Pattern match: DARVO (Deny-Attack-Reverse Victim/Offender)
  4. Alternative explanation: Partner genuinely overwhelmed, defensive reaction to feeling criticized
  5. Effect: User now doubting if their concern was legitimate

Output: "This response follows DARVO - your concern about canceled plans was denied ('can't believe you're attacking'), you were attacked for raising it, and they repositioned themselves as the victim who needs support. This could be manipulative, or it could be a defensive reaction from someone who feels overwhelmed and criticized. The effect either way is that your original concern (cancellation pattern) remains unaddressed."

QUALITY GATES

Analysis is complete when you can answer YES to all:

  • Identified the original question/claim that was allegedly avoided or deflected
  • Mapped how the response handled (or failed to handle) that original point
  • Named specific pattern(s) with confidence level (high/medium/low)
  • Provided at least one charitable alternative explanation
  • Described observable effect on the conversation or relationship
  • Checked for pattern confirmation bias (am I overcalling this?)
  • Avoided psychological diagnosis (stuck to behavioral description)
  • Offered practical next-step options for the user
  • Verified quotes/examples support the pattern identification
  • Considered context that might explain the behavior differently

NOT-FOR BOUNDARIES

Do NOT use this skill for:

  • Helping users deploy bad-faith tactics themselves → Use productive-discourse-facilitator for ethical persuasion
  • Diagnosing personality disorders → Refer to mental health professionals
  • Analyzing your own responses in conversation → Use communication-clarity-optimizer for self-improvement
  • Legal or HR advice about hostile communication → Refer to legal professionals
  • Determining if someone is "lying" definitively → Use factual-accuracy-verifier for truth claims

Delegate when:

  • User needs specific response scripts → Use boundary-setting-navigator
  • Focus is on repairing damaged communication → Use relationship-repair-facilitator
  • Analysis reveals potential abuse → Prioritize safety resources over pattern analysis

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

curiositech/windags-skills

Expert in 2000s-era music visualization (Milkdrop, AVS, Geiss) and modern WebGL implementations. Specializes in Butterchurn integration, Web Audio API AnalyserNode FFT data, GLSL shaders for audio-reactive visuals, and psychedelic generative art. Activate on "Milkdrop", "music visualization", "WebGL visualizer", "Butterchurn", "audio reactive", "FFT visualization", "spectrum analyzer". NOT for simple bar charts/waveforms (use basic canvas), video editing, or non-audio visuals.

curiositech/windags-skills

Expert legal research agent for finding and scraping expungement data state by state. Knows authoritative sources, URL patterns, Firecrawl configuration, and 2026 legal landscape.

curiositech/windags-skills

Expert in 3D computer vision labeling tools, workflows, and AI-assisted annotation for LiDAR, point clouds, and sensor fusion. Covers SAM4D/Point-SAM, human-in-the-loop architectures, and vertical-specific training strategies. Activate on '3D labeling', 'point cloud annotation', 'LiDAR labeling', 'SAM 3D', 'SAM4D', 'sensor fusion annotation', '3D bounding box', 'semantic segmentation point cloud'. NOT for 2D image labeling (use clip-aware-embeddings), general ML training (use ml-engineer), video annotation without 3D (use computer-vision-pipeline), or VLM prompt engineering (use prompt-engineer).

curiositech/windags-skills

Implement WCAG 2.2 AA/AAA compliance with automated testing, keyboard navigation, screen reader support, and focus management. Activate on: accessibility audit, WCAG compliance, keyboard navigation, screen reader, aria attributes, axe-core, focus trap. NOT for: design-level accessibility review (use design-accessibility-auditor), color contrast only (use css-in-js-architect).

curiositech/windags-skills

Time-blind friendly planning, executive function support, and daily structure for ADHD brains. Specializes in realistic time estimation, dopamine-aware task design, and building systems that actually work for neurodivergent minds.

curiositech/windags-skills

Designs digital experiences for ADHD brains using neuroscience research and UX principles. Expert in reducing cognitive load, time blindness solutions, dopamine-driven engagement, and compassionate design patterns. Activate on 'ADHD design', 'cognitive load', 'accessibility', 'neurodivergent UX', 'time blindness', 'dopamine-driven', 'executive function'. NOT for general accessibility (WCAG only), neurotypical UX design, or simple UI styling without ADHD context.

curiositech/windags-skills

>- Apply crisis decision-making research to agent routing, uncertainty triage, and coordination failure analysis in time-pressured systems. Use when diagnosing handoff failures, analytical paralysis, or expert judgment under incomplete information. NOT for routine coding, simple CRUD design, or static single-agent tasks with complete information.

curiositech/windags-skills

Extend and modify the admin dashboard, developer portal, and operations console. Use when adding new admin tabs, metrics, monitoring features, or internal tools. Activates for dashboard development, analytics, user management, and internal tooling.

curiositech/windags-skills

Conversation patterns and interaction protocols for multi-agent systems. Covers request/response, pub/sub, blackboard, delegation chains, debate, critique, consensus, fan-out/fan-in, supervisor-worker, and peer negotiation. Deep analysis of AutoGen conversation patterns, CrewAI delegation, LangGraph state passing, and FIPA-ACL performatives. Teaches how to design what agents say to each other and in what order. Activate on: "agent conversation", "agent protocol", "multi-agent debate", "agent delegation", "supervisor worker pattern", "agent voting", "consensus protocol", "fan-out fan-in", "agent negotiation", "blackboard pattern", "agent dialogue", "conversation topology", "agent handoff". NOT for: wire format or serialization (use agent-interchange-formats), orchestration infrastructure (use agentic-infrastructure-2026), single agent behavior (use agentic-patterns).

curiositech/windags-skills

Meta-agent for creating new custom agents, skills, and MCP integrations. Expert in agent design, MCP development, skill architecture, and rapid prototyping. Activate on 'create agent', 'new skill', 'MCP server', 'custom tool', 'agent design'. NOT for using existing agents (invoke them directly), general coding (use language-specific skills), or infrastructure setup (use deployment-engineer).

curiositech/windags-skills

AI-powered calendar management and agent-based scheduling coordination. Covers calendar APIs (Google Calendar, CalDAV/iCal), AI scheduling assistants (Reclaim, Clockwise, Motion, Cal.com), building custom calendar agents with MCP, multi-calendar merging, timezone management, focus block protection, meeting fatigue detection, and agent-to-agent meeting negotiation protocols. Activate on: "calendar agent", "AI scheduling", "calendar coordination", "meeting scheduling", "calendar API", "focus time protection", "calendar optimization", "Google Calendar MCP", "Reclaim", "Clockwise", "Motion", "Cal.com", "smart scheduling", "calendar-aware agent", "timezone scheduling", "agent negotiation meetings". NOT for: manual calendar UI component design (use form-validation-architect), project management scheduling or Gantt charts (use project-management-guru-adhd), general time-tracking or pomodoro apps (use adhd-daily-planner for time-awareness), building the agent itself from scratch (use agent-creator).

curiositech/windags-skills

Build and adopt production AI agent infrastructure in 2026. Covers framework selection (LangGraph, CrewAI, AutoGen, MCP), orchestration patterns, evaluation, observability, memory systems, and tool use. Also covers the SOCIAL dimension: how to sell agent infrastructure internally, change management, measuring ROI, building trust in autonomous systems, and scaling adoption across teams. Activate on: "agent infrastructure", "agent framework comparison", "which agent framework", "sell AI tools internally", "agent adoption", "agent observability", "agent evaluation", "MCP architecture", "agentic mesh", "enterprise AI agents", "AI change management", "agent ROI". NOT for: building specific agents (use ai-engineer), designing agent behavior patterns (use agentic-patterns), prompt tuning (use prompt-engineer).

curiositech/windags-skills

Fundamental patterns for effective agentic behavior. Teaches decomposition, tool orchestration, error recovery, context management, quality self-assessment, and knowing when to stop. Model-agnostic principles that make any agent more effective regardless of domain. Activate on: "how should I structure this agent", "agentic workflow", "agent patterns", "multi-step task", "tool orchestration", "/agentic-patterns", "decompose this", "agent best practices", "chain of actions", "when should the agent stop", "agent loop design". NOT for: creating agent infrastructure (use agent-creator), building DAGs (use windags-architect), specific tool implementation.

curiositech/windags-skills

Automated discovery and matching of agent skills for dynamic task routing and capability assessment

curiositech/windags-skills

Cryptographic security for agentic systems — zero-trust agent networking, signed message envelopes (JWS/JWE), capability-based security (ocaps), Merkle tree audit trails, WASM sandboxing, and formal verification. Covers CLI dev tool security, mTLS between agents, permission boundaries (least privilege for AI agents), and supply chain security for skills/plugins. Activate on: "agent security", "zero trust agents", "secure agent communication", "capability-based security", "ocap", "signed messages between agents", "agent audit trail", "sandbox agent execution", "agent permissions", "mTLS agents", "cryptographic verification", "agent supply chain", "OWASP agentic", "prove agent did X", "tamper-proof agent logs". NOT for: application-level SAST scanning (use security-auditor), network firewall rules (use infrastructure), SOC2/HIPAA compliance (organizational), or prompt injection defense (use prompt-engineer).

curiositech/windags-skills

Data structures and serialization formats for agent-to-agent communication. Covers message envelopes, structured output schemas, capability declarations, task handoff payloads, error/retry signaling, and context windows as data structures. Deep comparison of A2A protocol, MCP, OpenAI function calling, and LangChain message types. Teaches when to use rigid schemas vs free-form with validation, typed vs untyped, streaming vs batch. Activate on: "agent message format", "agent communication schema", "agent-to-agent protocol", "A2A protocol", "MCP message format", "structured output for agents", "agent interop", "interchange format", "agent serialization", "task handoff format", "capability declaration". NOT for: what agents say to each other (use agent-conversation-protocols), orchestration topology (use multi-agent-coordination), building agent infrastructure (use agentic-infrastructure-2026).

curiositech/windags-skills

Logic-based agent programming language implementing BDI architecture for practical autonomous agent development

curiositech/windags-skills

>- Design AgentSpeak(L)-style BDI agents with context-guarded plans, selection functions, and intention stacks. Use for interruptible autonomy, agent policy, and multi-agent orchestration in dynamic environments. NOT for simple rule engines, static planners, or centralized workflows.

curiositech/windags-skills

Foundational concurrent computation model where actors communicate exclusively through asynchronous message passing

curiositech/windags-skills

license: Apache-2.0 NOT for unrelated tasks outside this domain.

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